{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ae0d0e70-dc48-4d3b-a817-799efb1e6410",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from cycler import cycler\n",
    "import statsmodels.formula.api as smf\n",
    "from statsmodels.iolib.summary2 import summary_col\n",
    "import os\n",
    "pathtodata=os.getcwd()+r\"\\vdem14_for6_1.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9900db69-003e-4d5e-ab40-ea33934bae66",
   "metadata": {},
   "outputs": [],
   "source": [
    "thevars=['v3ststatag', #national statistical agency 0/1\n",
    "# Question: Is there a national statistical agency?\n",
    "# Clarification: A statistical agency is an official government organization exclusively devoted to\n",
    "# gathering numerical information in a variety of subjects about the country. This may be\n",
    "# a completely independent agency or a distinguishable office or department within another\n",
    "# governmental agency.\n",
    "# Responses:\n",
    "# 0: No.\n",
    "# 1: Yes.\n",
    "    'v3stcitlaw',      # 4.6.2 Citizenship laws (A) (v3stcitlaw) 0/1\n",
    "    'v2clfmove_ord', #freedom foreign movement\n",
    "    'v2cldmovem_ord', #Male freedom movement\n",
    "    'v2cldmovew_ord', #Female freedom movement    \n",
    "    'v3cllabrig_ord', #labor unions allowed - \n",
    "        ]\n",
    "usecol_names=['country_text_id','year','country_name']+thevars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b1f1bec5-02f0-4120-8f1d-c913ed614778",
   "metadata": {},
   "outputs": [],
   "source": [
    "vdem=pd.read_csv(pathtodata,usecols=usecol_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "118e01c6-4804-4479-8041-8811a3596e0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_text_id</th>\n",
       "      <th>year</th>\n",
       "      <th>v2clfmove_ord</th>\n",
       "      <th>v2cldmovem_ord</th>\n",
       "      <th>v2cldmovew_ord</th>\n",
       "      <th>v3cllabrig_ord</th>\n",
       "      <th>v3stcitlaw</th>\n",
       "      <th>v3ststatag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>MEX</td>\n",
       "      <td>1789</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>MEX</td>\n",
       "      <td>1790</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>MEX</td>\n",
       "      <td>1791</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>MEX</td>\n",
       "      <td>1792</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>MEX</td>\n",
       "      <td>1793</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  country_name country_text_id  year  v2clfmove_ord  v2cldmovem_ord  \\\n",
       "0       Mexico             MEX  1789            3.0             3.0   \n",
       "1       Mexico             MEX  1790            3.0             3.0   \n",
       "2       Mexico             MEX  1791            3.0             3.0   \n",
       "3       Mexico             MEX  1792            3.0             3.0   \n",
       "4       Mexico             MEX  1793            3.0             3.0   \n",
       "\n",
       "   v2cldmovew_ord  v3cllabrig_ord  v3stcitlaw  v3ststatag  \n",
       "0             3.0             1.0         0.0         0.0  \n",
       "1             3.0             1.0         0.0         0.0  \n",
       "2             3.0             1.0         0.0         0.0  \n",
       "3             3.0             1.0         0.0         0.0  \n",
       "4             3.0             1.0         0.0         0.0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vdem.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8d7bffb3-c447-4297-9d5f-e04a1e3a1b72",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Domestic movement restrictions\n",
    "# Question: Do men enjoy freedom of movement within the country?\n",
    "# Clarification: This indicator specifies the extent to which all men are able to move freely, in\n",
    "# daytime and nighttime, in public thoroughfares, across regions within a country, and to\n",
    "# establish permanent residency where they wish. Note that restrictions in movement might be\n",
    "# imposed by the state and/or by informal norms and practices. Such restrictions sometimes\n",
    "# fall on rural residents, on specific social groups, or on dissidents.\n",
    "# This question does not ask you to assess the relative freedom of men and women. Thus, it is\n",
    "# possible to assign the lowest possible score to a country even if men and women enjoy equal\n",
    "# — and extremely low — freedom of movement.\n",
    "# Do not consider restrictions in movement that are placed on ordinary (non-political)\n",
    "# criminals. Do not consider restrictions in movement that result from crime or unrest.\n",
    "# Responses:\n",
    "# 0: Virtually no men enjoy full freedom of movement (e.g., North Korea).\n",
    "# 1: Some men enjoy full freedom of movement, but most do not (e.g., Apartheid South Africa).\n",
    "# 2: Most men enjoy some freedom of movement but a sizeable minority does not. Alternatively\n",
    "# all men enjoy partial freedom of movement.\n",
    "# 3: Most men enjoy full freedom of movement but a small minority does not.\n",
    "# 4: Virtually all men enjoy full freedom of movement.\n",
    "\n",
    "vdem['v2cldmovea_rev']=(4-(vdem['v2cldmovem_ord']+vdem['v2cldmovew_ord'])/2)/4\n",
    "#vdem.loc[pd.isna(vdem.v2cldmovew_ord),'v2cldmovea_rev']=(4-vdem['v2cldmovem_ord'])/4\n",
    "conditions=[\n",
    "    vdem['v2cldmovea_rev']<=0.5,\n",
    "    vdem['v2cldmovea_rev']>0.5\n",
    "]\n",
    "choices=[0,1]\n",
    "vdem['dommoverestrict_01']=pd.to_numeric(np.select(conditions,choices,default=None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "20f0df7a-3670-4cef-9f3e-8b9ea18e2f43",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Emigration restrictions\n",
    "# Question: Is there freedom of foreign travel and emigration?\n",
    "# Clarification: This indicator specifies the extent to which citizens are able to travel freely to and\n",
    "# from the country and to emigrate without being subject to restrictions by public authorities.\n",
    "# Responses:\n",
    "# 0: Not respected by public authorities. Citizens are rarely allowed to emigrate or travel out of\n",
    "#          the country. Transgressors (or their families) are severely punished. People discredited by the\n",
    "# public authorities are routinely exiled or prohibited from traveling.\n",
    "# 1: Weakly respected by public authorities. The public authorities systematically restrict the\n",
    "# right to travel, especially for political opponents or particular social groups. This can take the\n",
    "# form of general restrictions on the duration of stays abroad or delays/refusals of visas.\n",
    "# 2: Somewhat respected by the public authorities. The right to travel for leading political\n",
    "# opponents or particular social groups is occasionally restricted but ordinary citizens only met\n",
    "# minor restrictions.\n",
    "# 3: Mostly respected by public authorities. Limitations on freedom of movement and residence\n",
    "# are not directed at political opponents but minor restrictions exist. For example, exit visas\n",
    "# may be required and citizens may be prohibited from traveling outside the country when\n",
    "# accompanied by other members of their family.\n",
    "# 4: Fully respected by the government. The freedom of citizens to travel from and to the\n",
    "# country, and to emigrate and repatriate, is not restricted by public authorities.\n",
    "vdem['v2clfmove_rev']=(4-vdem['v2clfmove_ord'])/4\n",
    "conditions=[\n",
    "    vdem['v2clfmove_rev']<=0.5,\n",
    "    vdem['v2clfmove_rev']>0.5\n",
    "]\n",
    "choices=[0,1]\n",
    "vdem['v2clfmove_rev']=pd.to_numeric(np.select(conditions,choices,default=None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e788cf6f-10d4-4e0d-a427-e1620344b7f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unions legal\n",
    "# 0: Independent labor unions (free from state or ruling party control) are not allowed.\n",
    "# 1: Independent labor unions are allowed, at least in some sectors of the economy or some\n",
    "# sections of the country. However, they are subject to harassment by the police, paramilitary\n",
    "# groups, business associations, or other groups. Harassment refers to systematic beatings,\n",
    "# imprisonment, outlawing of specific unions, and other actions that seriously impinge upon the\n",
    "# ability of unions to organize and bargain collectively.\n",
    "# 2: Independent labor unions are allowed and they do not face violent repression but the legal\n",
    "# climate is not friendly (e.g., \"closed shop\" rules are widespread), making it difficult to\n",
    "# organize and bargain collectively.\n",
    "# 3: Independent labor unions are allowed and may organize freely in all sectors of the\n",
    "# economy.\n",
    "\n",
    "conditions=[\n",
    "    (vdem['v3cllabrig_ord']<=1)&(vdem['year']<=1920),\n",
    "    (vdem['v3cllabrig_ord']>=2)&(vdem['year']<=1920)\n",
    "]\n",
    "choices=[0,1]\n",
    "vdem['unionslegal']=pd.to_numeric(np.select(conditions,choices,default=None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e2c5129c-a411-4fb7-a897-7af71431bbd1",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>v3stcitlaw</th>\n",
       "      <th>v2clfmove_rev</th>\n",
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       "      <th>v3ststatag</th>\n",
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       "      <th>2</th>\n",
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       "      <td>6.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1792</td>\n",
       "      <td>11.538462</td>\n",
       "      <td>46.875000</td>\n",
       "      <td>45.312500</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1793</td>\n",
       "      <td>11.538462</td>\n",
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       "      <td>30.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "   year  v3stcitlaw  v2clfmove_rev  dommoverestrict_01  v3ststatag  \\\n",
       "0  1789    7.692308      44.444444           46.031746    2.325581   \n",
       "1  1790   11.538462      44.444444           44.444444    2.272727   \n",
       "2  1791   11.538462      46.031746           45.312500    2.272727   \n",
       "3  1792   11.538462      46.875000           45.312500    2.272727   \n",
       "4  1793   11.538462      46.875000           45.312500    2.272727   \n",
       "\n",
       "   unionslegal  v3stcitlaw_count  v2clfmove_rev_count  \\\n",
       "0    13.333333               4.0                 28.0   \n",
       "1    13.333333               6.0                 28.0   \n",
       "2    13.333333               6.0                 29.0   \n",
       "3    13.333333               6.0                 30.0   \n",
       "4    13.333333               6.0                 30.0   \n",
       "\n",
       "   dommoverestrict_01_count  v3ststatag_count  unionslegal_count  \n",
       "0                      29.0               1.0                8.0  \n",
       "1                      28.0               1.0                8.0  \n",
       "2                      29.0               1.0                8.0  \n",
       "3                      29.0               1.0                8.0  \n",
       "4                      29.0               1.0                8.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byyearA=vdem.groupby('year')[['v3stcitlaw','v2clfmove_rev','dommoverestrict_01','v3ststatag','unionslegal']].sum().reset_index()\n",
    "for x in ['v3stcitlaw','v2clfmove_rev','dommoverestrict_01','v3ststatag','unionslegal']:\n",
    "     byyearA.rename(columns={x:x+'_count'},inplace=True)\n",
    "byyear=vdem.groupby('year')[['v3stcitlaw','v2clfmove_rev','dommoverestrict_01','v3ststatag','unionslegal']].mean().reset_index()\n",
    "for x in ['v3stcitlaw','v2clfmove_rev','dommoverestrict_01','v3ststatag','unionslegal']:\n",
    "    byyear[x]=byyear[x]*100\n",
    "byyear=byyear.merge(byyearA)\n",
    "byyear.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3f8d1309-cea6-4b6b-b656-ac4b88e24f33",
   "metadata": {},
   "outputs": [
    {
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       "      <td>18.954248</td>\n",
       "      <td>74.193548</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>1924</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.758170</td>\n",
       "      <td>18.954248</td>\n",
       "      <td>75.806452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     year  v3stcitlaw  v2clfmove_rev  dommoverestrict_01  v3ststatag  \\\n",
       "131  1920        80.0      26.490066           18.543046   74.193548   \n",
       "132  1921         NaN      26.666667           18.666667   74.193548   \n",
       "133  1922         NaN      27.450980           18.300654   74.193548   \n",
       "134  1923         NaN      28.104575           18.954248   74.193548   \n",
       "135  1924         NaN      28.758170           18.954248   75.806452   \n",
       "\n",
       "     unionslegal  v3stcitlaw_count  v2clfmove_rev_count  \\\n",
       "131    44.927536              52.0                 40.0   \n",
       "132          NaN               0.0                 40.0   \n",
       "133          NaN               0.0                 42.0   \n",
       "134          NaN               0.0                 43.0   \n",
       "135          NaN               0.0                 44.0   \n",
       "\n",
       "     dommoverestrict_01_count  v3ststatag_count  unionslegal_count  \n",
       "131                      28.0              46.0               31.0  \n",
       "132                      28.0              46.0                0.0  \n",
       "133                      28.0              46.0                0.0  \n",
       "134                      29.0              46.0                0.0  \n",
       "135                      29.0              47.0                0.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byyear.loc[byyear.year>=1920].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "84b47db0-01fc-4da4-9dea-209d3c6871bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "myvars=['v3stcitlaw','v3ststatag','v2clfmove_rev','dommoverestrict_01','unionslegal']\n",
    "mylabels=['Citizenship law','Statistical agency','Emigration restrictions','Internal movement restrictions','Labor unions legal']\n",
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "fig.patch.set_facecolor('white')\n",
    "custom_cycler = (cycler(color=['k', 'dimgray', 'lightgray', 'k','dimgray']) +\n",
    "                 cycler(lw=[1, 2, 3, 1,2]) +\n",
    "                cycler(linestyle=['-','--','-','--',':'])\n",
    "                )\n",
    "ax.set_prop_cycle(custom_cycler)\n",
    "    \n",
    "#plots\n",
    "for a,b in zip(myvars,mylabels):\n",
    "    plt.plot(byyear['year'],byyear[a], label = b)\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Frequency among sovereign states (%)')\n",
    "ax.legend(loc='best',frameon=False)\n",
    "ax.tick_params(bottom=True, left=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "000e5135-1f78-4ed0-9eca-4b13d0427c2f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
